Amitava Dutta - Research

Research Experiences

Thermochemical evolution of continental lithosphre and its relation to mantle cooling: plate-tectonics and beyond

Global Crustal thickness as plotted using pyGMT.

Advisor: Dr. Ajay Kumar, ECS, IISER Pune, India, 2024- current

Developing geophysical datasets for various crust and mantle compositions using Perple_X, and trying to convert seismic tomographic velocity models into temperature estimates for the Earth’s crust and shallow mantle.

In this project we have created some datasets on Vp, Vs and density for Temperature ranging from 273 K to 1573 K and pressure till 15 GPa and now we are trying to map seismic tomography velocities into my datasets and create a temperature estimate for the subsurface.

Using these datasets we are studying the various lithospheric geophysical-geochemical properties using some numerical-statistical models.

I have compiled global crustal thickness data derived from receiver function studies and Crust1.0, and used Fatiando a Terra's verde spline interpolation to generate a high-resolution gridded dataset. This grid is designed to be easily integrated with various platforms such as Python, GMT, and other programming environments. The Moho depth data, being one of the key geophysical parameters, is now part of my broader analysis connecting crustal and lithospheric properties with tectonothermal evolution.

[for references or access to the grid file contact me(go to the end of this page), this webpage is still under development, will update all the references here and will also make the GitHub repository public as soon as possible.]

*Under Development*

Effect of Hydration on the Iron Spin Crossover in Bridgmanite.

Advisor: Dr. Gaurav Shukla, DES, IISER Kolkata, India, 2023-2024

Bridgmanite is the most abundant mineral in the Earth’s lower mantle and the spin crossover of iron in Fe+3-bearing bridgmanite is a key factor affecting compressibility, sound velocity, and thermal structure of the system.

Phase transition in anhydrous bridgmanite is well established phenomenon but not much is know about what happens in hydrous system. Here, I calculated the equation of states of the Fe(III) bearing hydrous bridgmanite to study its structural and elastic properties in the lower mantle using first principle density function theory (ab initio DFT).

Low spin Fractionation: As observed due to transition from high spin to low spin at the phase transition pressure

Crustal evolution of different Archean cratons using receiver functions analysis implementing H-K stacking and Joint Inversion.

Moho Depth at the Guapure craton in South America
Top: Joint Inversion
Right: Zhu Knamori Method H-K stacking

Advisor: Dr. Kajaljyoti Borah, DES, IISER Kolkata, India, 2022-2023

I studied the crustal evolution of different Archean cratons using receiver function analysis. I used conventional P-RFs for modeling these RFs with H-K stacking and Joint Inversion of these RFs. I have used surface wave dispersion (global dispersion data collected from GMD52) and the RFs to make a forward model to establish a better understanding of the crust through a depth-velocity structure. This global optimization gave a clear idea about the MOHO in different cratons. Linking the MOHO discontinuity, its depth velocity structure has emphasized the similarities and differences existing in the structure globally, driving our understanding of the lithospheric formation on a global scale.

Studies on GNSS Pseudorange and Carrier Phase Residuals for Data Quality and Antenna Location Assessment.

Advisor: Dr. Anindya Bose, GNSS Lab, Department of Physics, The University of Burdwan, India, 2019 & 2021

In 2019, I worked on Precise Point Positioning GNSS Pseudorange and Carrier Phase Residuals. At first, I studied the GNSS Pseudorange and Carrier Phase Residuals for Data Quality and Antenna Location Assessment. I also compared the data quality between one high-cost (JAVAD) and one low-cost receiver (Ublox F9P).

In 2021 the work is associated with an ongoing project entitled ”Applicability of Compact GNSS Modules in Real Time Improvement of Position Accuracy for Test Range Applications” sponsored by DRDO Integrated Test Range (ITR), Chandipur, Balasore. I compared the GNSS Precise Point Positioning (PPP) using data collected from 4 different receivers (2 high costs and 2 low costs) simultaneously and compared them using some online platforms on 3 different occasions – Rapid (instantaneously), 3-day delay, and 15-day delay.

Ublox F9P Satellite

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